21.10.1 Heart, Cardiac Analysis using MRI Analysis, Cardiac MRI

Chapter Contents (Back)
Heart. MRI. Cardiac MRI.
See also Ventricle Segmentation, Left Ventricle, using MRI.
See also Angiography using MRI.
See also Deformable Models, Cardiac Motion Models for Volumes, Left Ventricle.
See also Elastography Analysis.

Meyer, F.G., Constable, R.T., Sinusas, A.J., Duncan, J.S.,
Tracking myocardial deformation using phase contrast MR velocity fields: A Stochastic Approach,
MedImg(15), No. 4, August 1996, pp. 453-465.
IEEE Top Reference. 0203
BibRef

Chandrashekara, R., Mohiaddin, R.H., Rueckert, D.,
Analysis of 3-D Myocardial Motion in Tagged MR Images Using Nonrigid Image Registration,
MedImg(23), No. 10, October 2004, pp. 1245-1250.
IEEE Abstract. 0410
BibRef

Rueckert, D., Chandrashekara, R., Aljabar, P., Bhatia, K.K., Boardman, J.P., Srinivasan, L., Rutherford, M.A., Dyet, L.E., Edwards, A.D., Hajnal, J.V., Mohiaddin, R.H.,
Quantification of Growth and Motion Using Non-rigid Registration,
CVAMIA06(49-60).
Springer DOI 0605
BibRef

Morgan, P.N., Iannuzzelli, R.J., Epstein, F.H., Balaban, R.S.,
Real-time cardiac MRI using DSPs,
MedImg(18), No. 7, July 1999, pp. 649-653.
IEEE Top Reference. 0110
BibRef

Huang, J.T.[Jian-Tao], Abendschein, D., Davila-Roman, V.G., Amini, A.A.,
Spatio-temporal tracking of myocardial deformations with a 4-D B-spline model from tagged MRI,
MedImg(18), No. 10, October 1999, pp. 957-972.
IEEE Top Reference. 0110
BibRef
Earlier: A1, A4, Only:
Anatomical object volumes from deformable B-spline surface models,
ICIP98(I: 732-736).
IEEE DOI 9810
BibRef

Adali, T.[Tülay], Wang, Y.[Yue], Gupta, N.[Nidhi],
A blockwise relaxation labeling scheme and its application to edge detection in cardiac MR image sequences,
IJIST(9), No. 5, 1999, pp. 340-350. BibRef 9900

Denney, Jr., T.S.,
Estimation and detection of myocardial tags in MR image without user-defined myocardial contours,
MedImg(18), No. 4, April 1999, pp. 330-344.
IEEE Top Reference. 0110
BibRef

Tobon-Gomez, C., Butakoff, C., Aguade, S., Sukno, F., Moragas, G., Frangi, A.F.,
Automatic Construction of 3D-ASM Intensity Models by Simulating Image Acquisition: Application to Myocardial Gated SPECT Studies,
MedImg(27), No. 11, November 2008, pp. 1655-1667.
IEEE DOI 0811
BibRef

Sachs, T.S., Meyer, C.H., Pauly, J.M., Hu, B.S., Nishimura, D.G., Macovski, A.,
The real-time interactive 3-D-DVA for robust coronary MRA,
MedImg(19), No. 2, February 2000, pp. 73-79.
IEEE Top Reference. 0110
BibRef

Osman, N.F., McVeigh, E.R., Prince, J.L.,
Imaging heart motion using harmonic phase MRI,
MedImg(19), No. 3, March 2000, pp. 186-202.
IEEE Top Reference. 0110
BibRef

McVeigh, E.R.[Elliot R.], Bolster, Jr., B.D.[Bradley D.],
Method for measuring myocardial motion and the like,
US_Patent6,171,241, Jan 9, 2001
WWW Link. MRI analysis BibRef 0101

Osman, N.F., Prince, J.L.,
Angle images for measuring heart motion from tagged MRI,
ICIP98(I: 704-708).
IEEE DOI 9810
BibRef

Amini, A.A., Chen, Y.S.[Ya-Sheng], Elayyadi, M., Radeva, P.I.,
Tag surface reconstruction and tracking of myocardial beads from SPAMM-MRI with parametric B-spline surfaces,
MedImg(20), No. 2, February 2001, pp. 94-103.
IEEE Top Reference. 0110
BibRef

Amini, A.A.[Amir A.], Prince, J.L.[Jerry L.],
Measurement of Cardiac Deformations from MRI: Physical and Mathematical Models,
KluwerDecember 2001, ISBN 1-4020-0222-X.
WWW Link. Buy this book: Measurement Of Cardiac Deformations From Mri: Physical and Mathematical Models (COMPUTATIONAL IMAGING AND VISION) BibRef 0112

Lei, T.[Tianhu], Udupa, J.K., Saha, P.K., Odhner, D.,
Artery-vein separation via MRA-An image processing approach,
MedImg(20), No. 8, August 2001, pp. 689-703.
IEEE Top Reference. 0110
BibRef

Mitchell, S.C., Bosch, J.G., Lelieveldt, B.P.F., van der Geest, R.J., Reiber, J.H.C., Sonka, M.,
3-D active appearance models: segmentation of cardiac MR and ultrasound images,
MedImg(21), No. 9, September 2002, pp. 1167-1178.
IEEE Top Reference. 0301
BibRef

Selskog, P., Heiberg, E., Ebbers, T., Wigstrom, L., Karlsson, M.,
Kinematics of the heart: strain-rate imaging from time-resolved three-dimensional phase contrast MRI,
MedImg(21), No. 9, September 2002, pp. 1105-1109.
IEEE Top Reference. 0301
BibRef

Garpebring, A., Ostlund, N., Karlsson, M.,
A Novel Estimation Method for Physiological Parameters in Dynamic Contrast-Enhanced MRI: Application of a Distributed Parameter Model Using Fourier-Domain Calculations,
MedImg(28), No. 9, September 2009, pp. 1375-1383.
IEEE DOI 0909
BibRef

Sussman, M.S., Wright, G.A.,
Factors affecting the correlation coefficient template matching algorithm with application to real-time 2-D coronary artery MR imaging,
MedImg(22), No. 2, February 2003, pp. 206-216.
IEEE Top Reference. 0304
BibRef

Anderson, K.J.T., Scott, G.C., Wright, G.A.,
Catheter Tracking With Phase Information in a Magnetic Resonance Scanner,
MedImg(31), No. 6, June 2012, pp. 1173-1180.
IEEE DOI 1206
BibRef

de Bruijne, M., Niessen, W.J., Maintz, J.B.A., Viergever, M.A.,
Localization and segmentation of aortic endografts using marker detection,
MedImg(22), No. 4, April 2003, pp. 473-482.
IEEE Abstract. 0306
BibRef

van Bemmel, C.M., Wink, O., Verdonck, B., Viergever, M.A.,
Blood pool contrast-enhanced MRA: improved arterial visualization in the steady state,
MedImg(22), No. 5, May 2003, pp. 645-652.
IEEE Abstract. 0307
BibRef

Deng, X., Denney, Jr., T.S.,
Three-Dimensional Myocardial Strain Reconstruction From Tagged MRI Using a Cylindrical B-spline Model,
MedImg(23), No. 7, July 2004, pp. 861-867.
IEEE Abstract. 0407
BibRef

Jerosch-Herold, M., Hu, X., Murthy, N.S., Seethamraju, R.T.,
Time Delay for Arrival of MR Contrast Agent in Collateral-Dependent Myocardium,
MedImg(23), No. 7, July 2004, pp. 881-890.
IEEE Abstract. 0407
BibRef

Sussman, M.S., Robert, N., Wright, G.A.,
Adaptive Averaging for Improved SNR in Real-Time Coronary Artery MRI,
MedImg(23), No. 8, August 2004, pp. 1034-1045.
IEEE Abstract. 0409
BibRef

Movassaghi, B., Rasche, V., Grass, M., Viergever, M.A., Niessen, W.J.,
A quantitative analysis of 3-D coronary modeling from two or more projection images,
MedImg(23), No. 12, December 2004, pp. 1517-1531.
IEEE Abstract. 0412
BibRef

Pluempitiwiriyawej, C., Moura, J.M.F., Wu, Y.J.L., Ho, C.,
STACS: New Active Contour Scheme for Cardiac MR Image Segmentation,
MedImg(24), No. 5, May 2005, pp. 593-603.
IEEE Abstract. 0505
BibRef

Pluempitiwiriyawej, C., Moura, J.M.F., Wu, Y.J.[Yi-Jen], Kanno, S., Ho, C.[Chien],
Stochastic active contour for cardiac MR image segmentation,
ICIP03(II: 1097-1100).
IEEE DOI 0312
BibRef

Phumeechanya, S.[Sopon], Pluempitiwiriyawej, C.[Charnchai], Thongvigitmanee, S.[Saowapak],
Active Contour Using Local Regional Information on Extendable Search Lines (LRES) for Image Segmentation,
IEICE(E93-D), No. 6, June 2010, pp. 1625-1635.
WWW Link. 1006
BibRef
And:
Edge type-selectable active contour using local regional information on extendable search lines,
ICIP10(653-656).
IEEE DOI 1009
BibRef

Rhode, K.S., Sermesant, M., Brogan, D., Hegde, S., Hipwell, J.H., Lambiase, P., Rosenthal, E., Bucknall, C., Qureshi, S.A., Gill, J.S., Razavi, R.S., Hill, D.L.G.,
A system for real-time XMR guided cardiovascular intervention,
MedImg(24), No. 11, November 2005, pp. 1428-1440.
IEEE DOI 0512

See also Comparison of a Similarity-Based and a Feature-Based 2-D to 3-D Registration Method for Neurointerventional Use, A.
See also Intensity-based 2-D-3-D registration of cerebral angiograms. BibRef

Salvado, O., Hillenbrand, C., Zhang, S., Wilson, D.L.,
Method to Correct Intensity Inhomogeneity in MR Images for Atherosclerosis Characterization,
MedImg(25), No. 5, May 2006, pp. 539-552.
IEEE DOI 0605
BibRef

O'Donnell, T.[Thomas], Funka-Lea, G.[Gareth], Tek, H.[Hüseyin], Jolly, M.P.[Marie-Pierre], Rasch, M.[Matthias], Setser, R.[Randolph],
Comprehensive Cardiovascular Image Analysis Using MR and CT at Siemens Corporate Research,
IJCV(70), No. 2, November 2006, pp. 165-178.
Springer DOI 0608
BibRef

Gulsun, M.A.[M. Akif], Tek, H.[Huseyin],
Geometric modeling of tubular structures,
MMBIA08(1-8).
IEEE DOI 0806
BibRef

Hautvast, G., Lobregt, S., Breeuwer, M., Gerritsen, F.,
Automatic Contour Propagation in Cine Cardiac Magnetic Resonance Images,
MedImg(25), No. 11, November 2006, pp. 1472-1482.
IEEE DOI 0611
BibRef

Zeng, G.S.L.[Geng-Sheng L.], Li, Y.[Ya], di Bella, E.V.R.[Edward V. R.],
Non-iterative reconstruction with a prior for undersampled radial MRI data,
IJIST(23), No. 1, March 2013, pp. 53-58.
DOI Link 1303
BibRef

Adluru, G.[Ganesh], Tasdizen, T.[Tolga], Whitaker, R.T.[Ross T.], di Bella, E.V.R.[Edward V. R.],
Improving Undersampled MRI Reconstruction Using Non-local Means,
ICPR10(4000-4003).
IEEE DOI 1008
BibRef

Picq, M.[Martine], Pousin, J.[Jérôme], Rouchdy, Y.[Youssef],
A Linear 3D Elastic Segmentation Model for Vector Fields. Application to the Heart Segmentation in MRI,
JMIV(27), No. 3, April 2007, pp. 241-255.
Springer DOI 0704
BibRef

Peyrat, J.M.[Jean-Marc], Sermesant, M.[Maxime], Pennec, X.[Xavier], Delingette, H.[Hervé], Xu, C.Y.[Chen-Yang], McVeigh, E.R.[Elliot R.], Ayache, N.J.[Nicholas J.],
A Computational Framework for the Statistical Analysis of Cardiac Diffusion Tensors: Application to a Small Database of Canine Hearts,
MedImg(26), No. 11, November 2007, pp. 1500-1514.
IEEE DOI 0709
BibRef
And:
Statistical Comparison of Cardiac Fibre Architectures,
FIMH07(413-423).
Springer DOI 0706
BibRef

Chen, T., Babb, J., Kellman, P., Axel, L., Kim, D.,
Semiautomated Segmentation of Myocardial Contours for Fast Strain Analysis in Cine Displacement-Encoded MRI,
MedImg(27), No. 8, August 2008, pp. 1084-1094.
IEEE DOI 0808
BibRef

Chang, H.H., Moura, J.M.F., Wu, Y.L., Ho, C.,
Automatic Detection of Regional Heart Rejection in USPIO-Enhanced MRI,
MedImg(27), No. 8, August 2008, pp. 1095-1106.
IEEE DOI 0808
BibRef

Milles, J., van der Geest, R.J., Jerosch-Herold, M., Reiber, J.H.C., Lelieveldt, B.P.F.,
Fully Automated Motion Correction in First-Pass Myocardial Perfusion MR Image Sequences,
MedImg(27), No. 11, November 2008, pp. 1611-1621.
IEEE DOI 0811
BibRef

Hennemuth, A., Seeger, A., Friman, O., Miller, S., Klumpp, B., Oeltze, S., Peitgen, H.O.,
A Comprehensive Approach to the Analysis of Contrast Enhanced Cardiac MR Images,
MedImg(27), No. 11, November 2008, pp. 1592-1610.
IEEE DOI 0811
BibRef

Han, C., Liu, Z., Zhang, X., Pogwizd, S., He, B.,
Noninvasive Three-Dimensional Cardiac Activation Imaging From Body Surface Potential Maps: A Computational and Experimental Study on a Rabbit Model,
MedImg(27), No. 11, November 2008, pp. 1622-1630.
IEEE DOI 0811
BibRef

Yu, L., Zhou, Z., He, B.,
Temporal Sparse Promoting Three Dimensional Imaging of Cardiac Activation,
MedImg(34), No. 11, November 2015, pp. 2309-2319.
IEEE DOI 1511
Computational modeling BibRef

Chinchapatnam, P., Rhode, K.S., Ginks, M., Rinaldi, C.A., Lambiase, P., Razavi, R.S., Arridge, S.R., Sermesant, M.,
Model-Based Imaging of Cardiac Apparent Conductivity and Local Conduction Velocity for Diagnosis and Planning of Therapy,
MedImg(27), No. 11, November 2008, pp. 1631-1642.
IEEE DOI 0811
BibRef

Wu, W.C.[Wen-Chau], Edlow, B.L., Elliot, M.A., Wang, J.J.[Jiong-Jiong], Detre, J.A.,
Physiological Modulations in Arterial Spin Labeling Perfusion Magnetic Resonance Imaging,
MedImg(28), No. 5, May 2009, pp. 703-709.
IEEE DOI 0905
BibRef

Histace, A., Menard, M., Cavaro-Menard, C.,
Selective diffusion for oriented pattern extraction: Application to tagged cardiac MRI enhancement,
PRL(30), No. 15, 1 November 2009, pp. 1356-1365.
Elsevier DOI 0910
Image diffusion; Extreme physical information; Oriented pattern extraction; Selectivity; Tagged cardiac MRI BibRef

Histace, A., Cavaro-Menard, C., Vigouroux, B.,
Tagged Cardiac MRI: Detection of Myocardial Boundaries by Texture Analysis,
ICIP03(II: 1061-1064).
IEEE DOI 0312
BibRef

Cavaro-Menard, C., Le Duff, A., Balzer, P., Denizot, B., Morel, O., Jallet, P., Le Jeune, J.J.,
Quality assessment of compressed cardiac MRI. Effect of lossy compression on computerized physiological parameters,
CIAP99(1034-1037).
IEEE DOI 9909
BibRef

Cousty, J.[Jean], Najman, L.[Laurent], Couprie, M.[Michel], Clément-Guinaudeau, S.[Stéphanie], Goissen, T.[Thomas], Garot, J.[Jerôme],
Segmentation of 4D cardiac MRI: Automated method based on spatio-temporal watershed cuts,
IVC(28), No. 8, August 2010, pp. 1229-1243.
Elsevier DOI 1006
BibRef
Earlier:
Automated, Accurate and Fast Segmentation of 4D Cardiac MR Images,
FIMH07(474-483).
Springer DOI 0706
Cardiac imagery; 4D-cine-MRI; 4D watershed cut; Discrete mathematical morphology BibRef

Wollny, G., Ledesma-Carbayo, M.J., Kellman, P., Santos, A.,
Exploiting Quasiperiodicity in Motion Correction of Free-Breathing Myocardial Perfusion MRI,
MedImg(29), No. 8, August 2010, pp. 1516-1527.
IEEE DOI 1008
BibRef

Liu, X., Prince, J.L.[Jerry L.],
Shortest Path Refinement for Motion Estimation From Tagged MR Images,
MedImg(29), No. 8, August 2010, pp. 1560-1572.
IEEE DOI 1008
BibRef

Xing, F.X.[Fang-Xu], Woo, J.H.[Jong-Hye], Gomez, A.D.[Arnold D.], Pham, D.L.[Dzung L.], Bayly, P.V.[Philip V.], Stone, M.[Maureen], Prince, J.L.[Jerry L.],
Phase Vector Incompressible Registration Algorithm for Motion Estimation From Tagged Magnetic Resonance Images,
MedImg(36), No. 10, October 2017, pp. 2116-2128.
IEEE DOI 1710
BibRef
Earlier:
Incompressible Phase Registration for Motion Estimation from Tagged Magnetic Resonance Images,
RAMBO16(24-33).
Springer DOI 1703
Harmonic analysis, Interpolation, Motion estimation, Tongue, Tracking, 3D, Motion, incompressible, phase, registration, tagged MRI BibRef

Zhuang, X., Rhode, K.S., Razavi, R.S., Hawkes, D.J., Ourselin, S.,
A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI,
MedImg(29), No. 9, September 2010, pp. 1612-1625.
IEEE DOI 1003
BibRef

Lekadir, K., Keenan, N.G., Pennell, D.J., Yang, G.Z.,
An Inter-Landmark Approach to 4-D Shape Extraction and Interpretation: Application to Myocardial Motion Assessment in MRI,
MedImg(30), No. 1, January 2011, pp. 52-68.
IEEE DOI 1101
BibRef

Akcakaya, M., Nam, S., Hu, P., Moghari, M.H., Ngo, L.H., Tarokh, V., Manning, W.J., Nezafat, R.,
Compressed Sensing With Wavelet Domain Dependencies for Coronary MRI: A Retrospective Study,
MedImg(30), No. 5, May 2011, pp. 1090-1099.
IEEE DOI 1105
BibRef

Schmid, V.J.,
Voxel-Based Adaptive Spatio-Temporal Modelling of Perfusion Cardiovascular MRI,
MedImg(30), No. 7, July 2011, pp. 1305-1313.
IEEE DOI 1107
BibRef

Wang, H., Amini, A.A.,
Cardiac Motion and Deformation Recovery From MRI: A Review,
MedImg(31), No. 2, February 2012, pp. 487-503.
IEEE DOI 1202
BibRef

Lee, W.N., Pernot, M., Couade, M., Messas, E., Bruneval, P., Bel, A., Hagege, A.A., Fink, M., Tanter, M.,
Mapping Myocardial Fiber Orientation Using Echocardiography-Based Shear Wave Imaging,
MedImg(31), No. 3, March 2012, pp. 554-562.
IEEE DOI 1203
BibRef

Oduneye, S.O., Biswas, L., Ghate, S., Ramanan, V., Barry, J., Laish-FarKash, A., Kadmon, E., Zeidan Shwiri, T., Crystal, E., Wright, G.A.,
The Feasibility of Endocardial Propagation Mapping Using Magnetic Resonance Guidance in a Swine Model, and Comparison With Standard Electroanatomic Mapping,
MedImg(31), No. 4, April 2012, pp. 977-983.
IEEE DOI 1204
BibRef

Shi, W.Z.[Wen-Zhe], Zhuang, X.H.[Xia-Hai], Wang, H.[Haiyan], Duckett, S.G.[Simon G.], Luong, D.V.N., Tobon-Gomez, C., Tung, K.P.[Kai-Pin], Edwards, P.J., Rhode, K.S., Razavi, R.S., Ourselin, S., Rueckert, D.,
A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration,
MedImg(31), No. 6, June 2012, pp. 1263-1275.
IEEE DOI 1206
BibRef

Lombaert, H.[Herve], Peyrat, J.M.[Jean-Marc], Croisille, P.[Pierre], Rapacchi, S.[Stanislas], Fanton, L.[Laurent], Cheriet, F., Clarysse, P.[Patrick], Magnin, I., Delingette, H.[Herve], Ayache, N.J.[Nicholas J.],
Human Atlas of the Cardiac Fiber Architecture: Study on a Healthy Population,
MedImg(31), No. 7, July 2012, pp. 1436-1447.
IEEE DOI 1208
BibRef

Lombaert, H.[Herve], Grady, L.[Leo], Pennec, X.[Xavier], Peyrat, J.M.[Jean-Marc], Ayache, N.J.[Nicholas J.],
Groupwise Spectral Log-Demons Framework for Atlas Construction,
MCVM12(11-19).
Springer DOI 1305
BibRef

Lombaert, H.[Herve], Peyrat, J.M.[Jean-Marc], Croisille, P.[Pierre], Rapacchi, S.[Stanislas], Fanton, L.[Laurent], Clarysse, P.[Patrick], Delingette, H.[Herve], Ayache, N.J.[Nicholas J.],
Statistical Analysis of the Human Cardiac Fiber Architecture from DT-MRI,
FIMH11(171-179).
Springer DOI 1105
BibRef

Pop, M.[Mihaela], Sermesant, M.[Maxime], Peyrat, J.M.[Jean-Marc], Crystal, E.[Eugene], Ghate, S.[Sudip], Mansi, T.[Tommaso], Lashevsky, I.[Ilan], Qiang, B.P.[Bei-Ping], McVeigh, E.R.[Elliot R.], Ayache, N.J.[Nicholas J.], Wright, G.A.[Graham A.],
A 3D MRI-Based Cardiac Computer Model to Study Arrhytmia and Its In-vivo Experimental Validation,
FIMH11(195-205).
Springer DOI 1105
BibRef

Gilliam, A.D., Epstein, F.H.,
Automated Motion Estimation for 2-D Cine DENSE MRI,
MedImg(31), No. 9, September 2012, pp. 1669-1681.
IEEE DOI 1209
BibRef

Konukoglu, E., Glocker, B., Ye, D.H., Criminisi, A., Pohl, K.M.,
Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity,
MedImg(31), No. 12, December 2012, pp. 2278-2289.
IEEE DOI 1212
BibRef

Konukoglu, E.[Ender], Glocker, B.[Ben], Criminisi, A.[Antonio], Pohl, K.M.[Kilian M.],
WESD: Weighted Spectral Distance for Measuring Shape Dissimilarity,
PAMI(35), No. 9, 2013, pp. 2284-2297.
IEEE DOI 1307
Eigenvalues and eigenfunctions BibRef

Zikic, D.[Darko], Glocker, B.[Ben], Criminisi, A.[Antonio],
Classifier-Based Multi-atlas Label Propagation with Test-Specific Atlas Weighting for Correspondence-Free Scenarios,
MCV14(116-124).
Springer DOI 1501
BibRef

Ye, D.H.[Dong Hye], Litt, H.[Harold], Davatzikos, C.[Christos], Pohl, K.M.[Kilian M.],
Morphological Classification: Application to Cardiac MRI of Tetralogy of Fallot,
FIMH11(180-187).
Springer DOI 1105
BibRef
Earlier: A1, A4, A2, A3:
Groupwise morphometric analysis based on high dimensional clustering,
MMBIA10(47-54).
IEEE DOI 1006
Variations between healthy and pathological states. BibRef

Ukwatta, E., Yuan, J., Rajchl, M., Qiu, W., Tessier, D., Fenster, A.,
3-D Carotid Multi-Region MRI Segmentation by Globally Optimal Evolution of Coupled Surfaces,
MedImg(32), No. 4, April 2013, pp. 770-785.
IEEE DOI 1304
BibRef

Grosgeorge, D., Petitjean, C., Dacher, J.N., Ruan, S.,
Graph cut segmentation with a statistical shape model in cardiac MRI,
CVIU(117), No. 9, 2013, pp. 1027-1035.
Elsevier DOI 1307
Image segmentation BibRef

Grosgeorge, D., Petitjean, C., Ruan, S.,
Multilabel statistical shape prior for image segmentation,
IET-IPR(10), No. 10, 2016, pp. 710-716.
DOI Link 1610
biomedical MRI BibRef

Bai, W.J.[Wen-Jia], Shi, W.Z.[Wen-Zhe], O'Regan, D.P., Tong, T.[Tong], Wang, H.[Haiyan], Jamil-Copley, S., Peters, N.S., Rueckert, D.,
A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images,
MedImg(32), No. 7, 2013, pp. 1302-1315.
IEEE DOI 1307
Bayes methods BibRef

Karim, R.[Rashed], Arujuna, A.[Aruna], Brazier, A.[Alex], Gill, J.[Jaswinder], Rinaldi, C.A.[C. Aldo], O'Neill, M.[Mark], Razavi, R.[Reza], Schaeffter, T.[Tobias], Rueckert, D.[Daniel], Rhode, K.S.[Kawal S.],
Automatic Segmentation of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance Imaging,
FIMH11(63-70).
Springer DOI 1105
BibRef

Cordero-Grande, L.[Lucilio], Merino-Caviedes, S.[Susana], Aja-Fernandez, S.[Santiago], Alberola-Lopez, C.[Carlos],
Groupwise Elastic Registration by a New Sparsity-Promoting Metric: Application to the Alignment of Cardiac Magnetic Resonance Perfusion Images,
PAMI(35), No. 11, 2013, pp. 2638-2650.
IEEE DOI 1309
Groupwise elastic registration BibRef

Vegas-Sanchez-Ferrero, G.[Gonzalo], Tristan-Vega, A.[Antonio], Cordero-Grande, L.[Lucilio], Casaseca-de-la-Higuera, P.[Pablo], Aja-Fernandez, S.[Santiago], Martin-Fernandez, M.[Marcos], Alberola-Lopez, C.[Carlos],
Strain Rate Tensor estimation in cine cardiac MRI based on elastic image registration,
Tensor08(1-6).
IEEE DOI 0806
BibRef

Al-Agamy, A.O., Osman, N.F., Fahmy, A.S.,
Myocardium segmentation in strain-encoded (SENC) magnetic resonance images using graph-cuts,
IET-IPR(7), No. 5, 2013, pp. 415-422.
DOI Link 1310
BibRef

Zhu, L.J.[Liang-Jia], Gao, Y.[Yi], Yezzi, A.J., Tannenbaum, A.,
Automatic Segmentation of the Left Atrium From MR Images via Variational Region Growing With a Moments-Based Shape Prior,
IP(22), No. 12, 2013, pp. 5111-5122.
IEEE DOI 1312
Zernike polynomials BibRef

Dahiya, N.[Navdeep], Piccinelli, M.[Marina], Garcia, E.[Ernest], Yezzi, A.J.[Anthony J.],
Shape Prior Based Myocardial Segmentation with Anatomically Motivated Pose Model,
AIRCAD22(338-350).
Springer DOI 2208
BibRef

Rajchl, M., Yuan, J.[Jing], White, J.A., Ukwatta, E., Stirrat, J., Nambakhsh, C.M.S., Li, F.P., Peters, T.M.,
Interactive Hierarchical-Flow Segmentation of Scar Tissue From Late-Enhancement Cardiac MR Images,
MedImg(33), No. 1, January 2014, pp. 159-172.
IEEE DOI 1402
Potts model BibRef

Merino-Caviedes, S., Cordero-Grande, L., Revilla-Orodea, A., Sevilla-Ruiz, T., Perez, M.T., Martin-Fernandez, M., Alberola-Lopez, C.,
Multi-Stencil Streamline Fast Marching: A General 3-D Framework to Determine Myocardial Thickness and Transmurality in Late Enhancement Images,
MedImg(33), No. 1, January 2014, pp. 23-37.
IEEE DOI 1402
biomedical MRI BibRef

Yoon, H.[Huisu], Kim, K.S.[Kyung Sang], Kim, D., Bresler, Y., Ye, J.C.[Jong Chul],
Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI,
MedImg(33), No. 11, November 2014, pp. 2069-2085.
IEEE DOI 1411
Fourier transforms BibRef

Wei, H.J.[Hong-Jiang], Viallon, M., Delattre, B.M.A., Moulin, K., Yang, F.[Feng], Croisille, P., Zhu, Y.M.[Yue-Min],
Free-Breathing Diffusion Tensor Imaging and Tractography of the Human Heart in Healthy Volunteers Using Wavelet-Based Image Fusion,
MedImg(34), No. 1, January 2015, pp. 306-316.
IEEE DOI 1502
biodiffusion BibRef

Piuze, E.[Emmanuel], Sporring, J., Siddiqi, K.,
Maurer-Cartan Forms for Fields on Surfaces: Application to Heart Fiber Geometry,
PAMI(37), No. 12, December 2015, pp. 2492-2504.
IEEE DOI 1512
biomedical MRI BibRef

Piuze, E.[Emmanuel],
The Geometry of Cardiac Myofibers,
Ph.D.Thesis, McGill University, 2016. 1612
Award, CIPPRS Doctoral Dissertation, HM. BibRef

Liao, W.[Wei], Rohr, K.[Karl], Kang, C.K.[Chang-Ki], Cho, Z.H.[Zang-Hee], Wörz, S.[Stefan],
Automatic 3D Segmentation and Quantification of Lenticulostriate Arteries from High-Resolution 7 Tesla MRA Images,
IP(25), No. 1, January 2016, pp. 400-413.
IEEE DOI 1601
Data models BibRef

Tran, G.[Giang], Shi, Y.G.[Yong-Gang],
Fiber Orientation and Compartment Parameter Estimation From Multi-Shell Diffusion Imaging,
MedImg(34), No. 11, November 2015, pp. 2320-2332.
IEEE DOI 1512
biomedical MRI BibRef

Doherty, J.R., Dahl, J.J., Kranz, P.G., El Husseini, N., Chang, H.C.[Hing-Chiu], Chen, N.K.[Nan-Kuei], Allen, J.D., Ham, K.L., Trahey, G.E.,
Comparison of Acoustic Radiation Force Impulse Imaging Derived Carotid Plaque Stiffness With Spatially Registered MRI Determined Composition,
MedImg(34), No. 11, November 2015, pp. 2354-2365.
IEEE DOI 1512
biomedical MRI BibRef

Bevilacqua, M.[Marco], Dharmakumar, R.[Rohan], Tsaftaris, S.A.[Sotirios A.],
Dictionary-Driven Ischemia Detection From Cardiac Phase-Resolved Myocardial BOLD MRI at Rest,
MedImg(35), No. 1, January 2016, pp. 282-293.
IEEE DOI 1601
Data models BibRef

Oksuz, I.[Ilkay], Mukhopadhyay, A.[Anirban], Dharmakumar, R.[Rohan], Tsaftaris, S.A.[Sotirios A.],
Unsupervised Myocardial Segmentation for Cardiac BOLD,
MedImg(36), No. 11, November 2017, pp. 2228-2238.
IEEE DOI 1711
Dictionaries, Image segmentation, Magnetic resonance imaging, Manuals, Motion segmentation, Myocardium, Standards, BOLD, CINE, Unsupervised segmentation, cardiac MRI, dictionary learning, optical, flow BibRef

Mukhopadhyay, A.[Anirban], Oksuz, I.[Ilkay], Bevilacqua, M.[Marco], Dharmakumar, R.[Rohan], Tsaftaris, S.A.[Sotirios A.],
Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI,
FIMH15(189-197).
Springer DOI 1507
BibRef

Odille, F., Menini, A., Escanye, J.M., Vuissoz, P.A., Marie, P.Y., Beaumont, M., Felblinger, J.,
Joint Reconstruction of Multiple Images and Motion in MRI: Application to Free-Breathing Myocardial T_2 Quantification,
MedImg(35), No. 1, January 2016, pp. 197-207.
IEEE DOI 1601
Image reconstruction BibRef

Yang, X., Su, Y., Duan, R., Fan, H., Yeo, S.Y., Lim, C., Zhong, L., Tan, R.S.,
Cardiac image segmentation by random walks with dynamic shape constraint,
IET-CV(10), No. 1, 2016, pp. 79-86.
DOI Link 1601
biomedical MRI BibRef

Tuyisenge, V., Sarry, L., Corpetti, T., Innorta-Coupez, E., Ouchchane, L., Cassagnes, L.,
Estimation of Myocardial Strain and Contraction Phase From Cine MRI Using Variational Data Assimilation,
MedImg(35), No. 2, February 2016, pp. 442-455.
IEEE DOI 1602
Data assimilation BibRef

Wech, T., Seiberlich, N., Schindele, A., Grau, V., Diffley, L., Gyngell, M.L., Borzě, A., Köstler, H., Schneider, J.E.,
Development of Real-Time Magnetic Resonance Imaging of Mouse Hearts at 9.4 Tesla: Simulations and First Application,
MedImg(35), No. 3, March 2016, pp. 912-920.
IEEE DOI 1603
Compressed sensing BibRef

Hamilton, J.I., Seiberlich, N.,
Machine Learning for Rapid Magnetic Resonance Fingerprinting Tissue Property Quantification,
PIEEE(108), No. 1, January 2020, pp. 69-85.
IEEE DOI 2001
Biological tissues, Machine learning, Magnetic resonance imaging, Mathematical model, Magnetic properties, Cardiology, tissue characterization BibRef

Chen, Y.N.[Yan-Nan], Dai, Y.H.[Yu-Hong], Han, D.R.[De-Ren],
Fiber Orientation Distribution Estimation Using a Peaceman-Rachford Splitting Method,
SIIMS(9), No. 2, 2016, pp. 573-604.
DOI Link 1608
BibRef

Bueno-Orovio, A., Teh, I., Schneider, J.E., Burrage, K., Grau, V.,
Anomalous Diffusion in Cardiac Tissue as an Index of Myocardial Microstructure,
MedImg(35), No. 9, September 2016, pp. 2200-2207.
IEEE DOI 1609
Cardiac tissue BibRef

Wang, V.Y., Casta, C., Zhu, Y.M., Cowan, B.R., Croisille, P., Young, A.A., Clarysse, P., Nash, M.P.[Martyn P.],
Image-Based Investigation of Human in Vivo Myofibre Strain,
MedImg(35), No. 11, November 2016, pp. 2486-2496.
IEEE DOI 1609
biological tissues BibRef

Bates, J.[Joanne], Teh, I.[Irvin], McClymont, D., Kohl, P.[Peter], Schneider, J.E.[Jürgen E.], Grau, V.[Vicente],
Monte Carlo Simulations of Diffusion Weighted MRI in Myocardium: Validation and Sensitivity Analysis,
MedImg(36), No. 6, June 2017, pp. 1316-1325.
IEEE DOI 1706
BibRef
Earlier: A1, A2, A4, A5, A6, Only:
Sensitivity Analysis of Diffusion Tensor MRI in Simulated Rat Myocardium,
FIMH15(120-128).
Springer DOI 1507
Analytical models, Data models, Heart, Integrated circuit modeling, Magnetic resonance imaging, Myocardium, Solid modeling, MRI, diffusion weighted imaging, heart, tissue, modelling BibRef

de Vos, B.D., Wolterink, J.M.[Jelmer M.], de Jong, P.A., Leiner, T.[Tim], Viergever, M.A.[Max A.], Išgum, I.,
ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images,
MedImg(36), No. 7, July 2017, pp. 1470-1481.
IEEE DOI 1707
Abdomen, Anatomical structure, Computed tomography, Heart, CT, Localization, convolutional neural networks, deep learning, detection BibRef

Wolterink, J.M.[Jelmer M.], Leiner, T.[Tim], Viergever, M.A.[Max A.], Išgum, I.[Ivana],
Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease,
RAMBO16(95-102).
Springer DOI 1703
BibRef

Xue, W., Islam, A., Bhaduri, M., Li, S.,
Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning,
MedImg(36), No. 10, October 2017, pp. 2057-2067.
IEEE DOI 1710
biomedical MRI, cardiology, diseases, image coding, medical neural nets, regression analysis, Indices-Net, LV wall thicknesses(1.44, ROI cropping, areas-of-cavity, cardiac MR sequences, cardiac disease diagnosis, BibRef

Zhou, Y., Giffard-Roisin, S., de Craene, M., Camarasu-Pop, S., d'Hooge, J., Alessandrini, M., Friboulet, D., Sermesant, M., Bernard, O.,
A Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences From the Same Virtual Patients,
MedImg(37), No. 3, March 2018, pp. 741-754.
IEEE DOI 1804
biomechanics, biomedical MRI, cardiovascular system, deformation, diseases, echocardiography, image motion analysis, image sequences, synthetic sequences BibRef

Duchateau, N., Sermesant, M., Delingette, H., Ayache, N.,
Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases,
MedImg(37), No. 3, March 2018, pp. 755-766.
IEEE DOI 1804
biomedical MRI, cardiology, feature extraction, image registration, image sequences, learning (artificial intelligence), validation BibRef

Bernard, O., Lalande, A., Zotti, C., Cervenansky, F., Yang, X., Heng, P., Cetin, I., Lekadir, K., Camara, O., Gonzalez Ballester, M.A., Sanroma, G., Napel, S., Petersen, S., Tziritas, G., Grinias, E., Khened, M., Kollerathu, V.A., Krishnamurthi, G., Rohé, M., Pennec, X., Sermesant, M., Isensee, F., Jäger, P., Maier-Hein, K.H., Full, P.M., Wolf, I., Engelhardt, S., Baumgartner, C.F., Koch, L.M., Wolterink, J.M., Išgum, I., Jang, Y., Hong, Y., Patravali, J., Jain, S., Humbert, O., Jodoin, P.,
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?,
MedImg(37), No. 11, November 2018, pp. 2514-2525.
IEEE DOI 1811
Machine learning, Magnetic resonance imaging, Myocardium, Image segmentation, Task analysis, Biomedical imaging, Heart, myocardium BibRef

Wigen, M.S., Fadnes, S., Rodriguez-Molares, A., Bjĺstad, T., Eriksen, M., Stensćth, K.H., Střylen, A., Lovstakken, L.,
4-D Intracardiac Ultrasound Vector Flow Imaging-Feasibility and Comparison to Phase-Contrast MRI,
MedImg(37), No. 12, December 2018, pp. 2619-2629.
IEEE DOI 1812
Imaging, Blood, Ultrasonic imaging, Estimation, Kernel, Ultrasonic variables measurement, 4D ultrasound BibRef

Tarroni, G., Oktay, O., Bai, W., Schuh, A., Suzuki, H., Passerat-Palmbach, J., de Marvao, A., O'Regan, D.P., Cook, S., Glocker, B., Matthews, P.M., Rueckert, D.,
Learning-Based Quality Control for Cardiac MR Images,
MedImg(38), No. 5, May 2019, pp. 1127-1138.
IEEE DOI 1905
Heart, Quality control, Pipelines, Estimation, Motion detection, Forestry, Visualization, Image quality assessment, heart BibRef

Mohsin, Y.Q., Poddar, S., Jacob, M.,
Free-Breathing Ungated Cardiac MRI Using Iterative SToRM (i-SToRM),
MedImg(38), No. 10, October 2019, pp. 2303-2313.
IEEE DOI 1910
Manifolds, Storms, Navigation, Magnetic resonance imaging, Estimation, Laplace equations, Cost function, Manifold, magnetic resonance imaging BibRef

Ahmed, A.H., Zhou, R., Yang, Y., Nagpal, P., Salerno, M., Jacob, M.,
Free-Breathing and Ungated Dynamic MRI Using Navigator-Less Spiral SToRM,
MedImg(39), No. 12, December 2020, pp. 3933-3943.
IEEE DOI 2012
Spirals, Navigation, Storms, Heuristic algorithms, Magnetic resonance imaging, Kernel, Image reconstruction, cardiac MRI BibRef

Zhuang, X.H.[Xia-Hai],
Multivariate Mixture Model for Myocardial Segmentation Combining Multi-Source Images,
PAMI(41), No. 12, December 2019, pp. 2933-2946.
IEEE DOI 1911
Myocardium, Image segmentation, Mixture models, Biomedical imaging, Pathology, Magnetic resonance, Multivariate image, multi-modality, cardiac MRI BibRef

Zhuang, X.H.[Xia-Hai], Shi, W.Z.[Wen-Zhe], Duckett, S.G.[Simon G.], Wang, H.Y.[Hai-Yan], Razavi, R.[Reza], Hawkes, D.[David], Rueckert, D.[Daniel], Ourselin, S.[Sebastien],
A Framework Combining Multi-sequence MRI for Fully Automated Quantitative Analysis of Cardiac Global And Regional Functions,
FIMH11(367-374).
Springer DOI 1105
BibRef

Lehnert, J.[Judith], Kolbitsch, C.[Christoph], Wübbeler, G.[Gerd], Chiribiri, A.[Amedeo], Schaeffter, T.[Tobias], Elster, C.[Clemens],
Large-Scale Bayesian Spatial-Temporal Regression with Application to Cardiac MR-Perfusion Imaging,
SIIMS(12), No. 4, 2019, pp. 2035-2062.
DOI Link 1912
BibRef

Rosenzweig, S., Scholand, N., Holme, H.C.M., Uecker, M.,
Cardiac and Respiratory Self-Gating in Radial MRI Using an Adapted Singular Spectrum Analysis (SSA-FARY),
MedImg(39), No. 10, October 2020, pp. 3029-3041.
IEEE DOI 2010
Magnetic resonance imaging, Principal component analysis, Time series analysis, Oscillators, Spectral analysis, Data mining, singular spectrum analysis BibRef

Oksuz, I., Clough, J.R., Ruijsink, B., Anton, E.P., Bustin, A., Cruz, G., Prieto, C., King, A.P., Schnabel, J.A.,
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation,
MedImg(39), No. 12, December 2020, pp. 4001-4010.
IEEE DOI 2012
Image segmentation, Motion segmentation, Biomedical imaging, Image reconstruction, Deep learning, Task analysis, Image quality, image artefacts BibRef

Qi, H., Fuin, N., Cruz, G., Pan, J., Kuestner, T., Bustin, A., Botnar, R.M., Prieto, C.,
Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning,
MedImg(40), No. 1, January 2021, pp. 444-454.
IEEE DOI 2012
Motion estimation, Image reconstruction, coronary magnetic resonance angiography BibRef

Wang, Z.,
Automatic Localization and Segmentation of the Ventricles in Magnetic Resonance Images,
CirSysVideo(31), No. 2, February 2021, pp. 621-631.
IEEE DOI 2102
Image segmentation, Histograms, Bandwidth, Fitting, Entropy, Deep learning, Slope difference distribution, image segmentation BibRef

Mella, H., Mura, J., Wang, H., Taylor, M.D., Chabiniok, R., Tintera, J., Sotelo, J., Uribe, S.,
HARP-I: A Harmonic Phase Interpolation Method for the Estimation of Motion From Tagged MR Images,
MedImg(40), No. 4, April 2021, pp. 1240-1252.
IEEE DOI 2104
Harmonic analysis, Strain, Heart, Interpolation, Estimation, Biomedical imaging, Cardiac MRI, motion estimation BibRef

Shokina, N.[Nina], Teschner, G.[Gabriel], Bauer, A.[Andreas], Tropea, C.[Cameron], Egger, H.[Herbert], Hennig, J.[Jürgen], Krafft, A.J.[Axel J.],
Parametric Sequential Method for MRI-Based Wall Shear Stress Quantification,
MedImg(40), No. 4, April 2021, pp. 1105-1112.
IEEE DOI 2104
Magnetic resonance imaging, Geometry, Interpolation, Biomedical imaging, Stress, Splines (mathematics), blood flow BibRef

Krebs, J.[Julian], Delingette, H.[Hervé], Ayache, N.[Nicholas], Mansi, T.[Tommaso],
Learning a Generative Motion Model From Image Sequences Based on a Latent Motion Matrix,
MedImg(40), No. 5, May 2021, pp. 1405-1416.
IEEE DOI 2105
Strain, Deformable models, Probabilistic logic, Tracking, Image sequences, Gaussian processes, Data models, Motion model, tracking BibRef

Ammari, A.[Asma], Mahmoudi, R.[Ramzi], Hmida, B.[Badii], Saouli, R.[Rachida], Bedoui, M.H.[Mohamed Hédi],
A review of approaches investigated for right ventricular segmentation using short-axis cardiac MRI,
IET-IPR(15), No. 9, 2021, pp. 1845-1868.
DOI Link 2106
BibRef

Mayer, J.[Johannes], Jin, Y.[Yining], Wurster, T.H.[Thomas-Heinrich], Makowski, M.R.[Marcus R.], Kolbitsch, C.[Christoph],
Evaluation of synergistic image registration for motion-corrected coronary NaF-PET-MR,
Royal(A: 379), No. 2200, June 2021, pp. 20200202.
DOI Link 2107
BibRef

Lyu, Q.[Qing], Shan, H.M.[Hong-Ming], Xie, Y.[Yibin], Kwan, A.C.[Alan C.], Otaki, Y.[Yuka], Kuronuma, K.[Keiichiro], Li, D.[Debiao], Wang, G.[Ge],
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network,
MedImg(40), No. 8, August 2021, pp. 2170-2181.
IEEE DOI 2108
Magnetic resonance imaging, Motion artifacts, Image resolution, Image reconstruction, Feature extraction, Spatial resolution, recurrent neural network BibRef

Hoppe, E.[Elisabeth], Wetzl, J.[Jens], Yoon, S.S.[Seung Su], Bacher, M.[Mario], Roser, P.[Philipp], Stimpel, B.[Bernhard], Preuhs, A.[Alexander], Maier, A.[Andreas],
Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging,
MedImg(40), No. 8, August 2021, pp. 2105-2117.
IEEE DOI 2108
Navigation, Imaging, Image reconstruction, Magnetic resonance imaging, Protocols, Electrocardiography, self-gating BibRef

Koehler, S.[Sven], Hussain, T.[Tarique], Blair, Z.[Zach], Huffaker, T.[Tyler], Ritzmann, F.[Florian], Tandon, A.[Animesh], Pickardt, T.[Thomas], Sarikouch, S.[Samir], Latus, H.[Heiner], Greil, G.[Gerald], Wolf, I.[Ivo], Engelhardt, S.[Sandy],
Unsupervised Domain Adaptation From Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks,
MedImg(40), No. 10, October 2021, pp. 2939-2953.
IEEE DOI 2110
Task analysis, Heart, Image segmentation, Deep learning, Training, competence network for congenital heart defects BibRef

Farzi, M.[Mohsen], Mcclymont, D.[Darryl], Whittington, H.[Hannah], Zdora, M.C.[Marie-Christine], Khazin, L.[Leah], Lygate, C.A.[Craig A.], Rau, C.[Christoph], Dall'Armellina, E.[Erica], Teh, I.[Irvin], Schneider, J.E.[Jürgen E.],
Assessing Myocardial Microstructure With Biophysical Models of Diffusion MRI,
MedImg(40), No. 12, December 2021, pp. 3775-3786.
IEEE DOI 2112
Biological system modeling, Dispersion, Microstructure, Tensors, Extracellular, Standards, Solid modeling, synchrotron X-ray imaging BibRef

Cui, Z.M.[Zhi-Ming], Li, C.J.[Chang-Jian], Du, Z.[Zhixu], Chen, N.[Nenglun], Wei, G.D.[Guo-Dong], Chen, R.[Runnan], Yang, L.[Lei], Shen, D.G.[Ding-Gang], Wang, W.P.[Wen-Ping],
Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac Segmentation,
MedImg(40), No. 12, December 2021, pp. 3604-3616.
IEEE DOI 2112
Image segmentation, Feature extraction, Computed tomography, Magnetic resonance imaging, cardiac segmentation BibRef

Du, L.Y.[Lian-Yu], Hu, L.W.[Li-Wei], Zhang, X.Y.[Xiao-Yun], Zhong, Y.M.[Yu-Min], Zhang, Y.[Ya], Wang, Y.F.[Yan-Feng],
Unsupervised Segmentation Framework with Active Contour Models for Cine Cardiac MRI,
ICIP21(56-60)
IEEE DOI 2201
Deep learning, Training, Image segmentation, Annotations, Magnetic resonance imaging, Predictive models, Iterative methods, cine cardiac MRI BibRef

Li, D.P.[Da-Peng], Peng, Y.J.[Yan-Jun], Guo, Y.F.[Yan-Fei], Sun, J.D.[Jin-Dong],
MFAUNet: Multiscale feature attentive U-Net for cardiac MRI structural segmentation,
IET-IPR(16), No. 4, 2022, pp. 1227-1242.
DOI Link 2203
BibRef

Ren, J.C.[Jin-Chang], Sun, H.[He], Zhao, H.M.[Hui-Min], Gao, H.[Hao], Maclellan, C.[Calum], Zhao, S.[Sophia], Luo, X.Y.[Xiao-Yu],
Effective extraction of ventricles and myocardium objects from cardiac magnetic resonance images with a multi-task learning U-Net,
PRL(155), 2022, pp. 165-170.
Elsevier DOI 2203
U-Net, Multi-task learning, Magnetic resonance images (MRI), Ventricles and myocardium extraction, Fusion-based decoder BibRef

Byrne, N.[Nick], Clough, J.R.[James R.], Valverde, I.[Israel], Montana, G.[Giovanni], King, A.P.[Andrew P.],
A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR,
MedImg(42), No. 1, January 2023, pp. 3-14.
IEEE DOI 2301
Image segmentation, Topology, Task analysis, Heart, Shape, Feature extraction, CMR, CNN, image segmentation, topology BibRef

Amirrajab, S.[Sina], Al Khalil, Y.[Yasmina], Lorenz, C.[Cristian], Weese, J.[Jürgen], Pluim, J.[Josien], Breeuwer, M.[Marcel],
A Framework for Simulating Cardiac MR Images With Varying Anatomy and Contrast,
MedImg(42), No. 3, March 2023, pp. 726-738.
IEEE DOI 2303
Heart, Data models, Databases, Biological system modeling, Deformable models, Solid modeling, Mathematical models, deep-learning BibRef

Subha, V., Gomathi, G., Boopathi, A.M.[A. Manivanna],
An exploration of ventricle regions segmentation and multiclass disease detection using cardiac MRI,
IJIST(34), No. 1, 2024, pp. e22938.
DOI Link 2401
classification, deep join attention model, deep learning, region integrated deep residual network, ventricle segmentation BibRef

Zhao, X.[Xin], Wang, T.M.[Tong-Ming], Chen, J.S.[Jing-Song], Jiang, B.R.[Bing-Run], Li, H.T.[Hao-Tian], Zhang, N.[Nan], Yang, G.[Guang], Chai, S.[Senchun],
GLRP: Global and local contrastive learning based on relative position for medical image segmentation on cardiac MRI,
IJIST(34), No. 2, 2024, pp. e22992.
DOI Link 2402
contrastive learning, medical image segmentation, relative position BibRef


Ye, M.[Meng], Yang, D.[Dong], Kanski, M.[Mikael], Axel, L.[Leon], Metaxas, D.N.[Dimitris N.],
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging,
ICCV23(14201-14210)
IEEE DOI 2401
BibRef

Chen, J.G.[Jian-Guo], Yang, X.[Xulei], Leng, S.[Shuang], Tan, R.S.[Ru-San], Zeng, Z.[Zeng], Zhong, L.[Liang],
MANET: Mitral Annulus Point Tracking Network in Cardiac Magnetic Resonance,
ICIP22(2876-2880)
IEEE DOI 2211
Correlation coefficient, Image analysis, Tracking, Magnetic resonance, Cardiac function, Biological systems, medical image analysis BibRef

Wang, Z.Y.[Zi-Yang], Dong, N.Q.[Nan-Qing], Voiculescu, I.[Irina],
Computationally-Efficient Vision Transformer for Medical Image Semantic Segmentation Via Dual Pseudo-Label Supervision,
ICIP22(1961-1965)
IEEE DOI 2211
Training, Deep learning, Costs, Annotations, Magnetic resonance imaging, Semantics, Semantic Segmentation, Cardiac MRI BibRef

Lima, D.M.[Daniel M.], Graves, C.V.[Catharine V.], Gutierrez, M.A.[Marco A.], Brandoli, B.[Bruno], Rodrigues Jr., J.F.[Jose F.],
Full Motion Focus: Convolutional Module for Improved Left Ventricle Segmentation Over 4D MRI,
CIAP22(I:438-450).
Springer DOI 2205
BibRef

Ye, M.[Meng], Kanski, M.[Mikael], Yang, D.[Dong], Chang, Q.[Qi], Yan, Z.[Zhennan], Huang, Q.[Qiaoying], Axel, L.[Leon], Metaxas, D.N.[Dimitris N.],
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images,
CVPR21(7257-7267)
IEEE DOI 2111
Tracking, Motion estimation, Neural networks, Estimation, Bidirectional control, Tagging, Myocardium BibRef

Gusseva, M.[Maria], Greer, J.S.[Joshua S.], Castellanos, D.A.[Daniel A.], Hussein, M.A.[Mohamed Abdelghafar], Greil, G.[Gerald], Reddy, S.R.V.[Surendranath R. Veeram], Hussain, T.[Tarique], Chapelle, D.[Dominique], Chabiniok, R.[Radomír],
Model-Assisted Time-Synchronization of Cardiac MR Image and Catheter Pressure Data,
FIMH21(362-372).
Springer DOI 2108
BibRef

Barbarotta, L.[Luca], Bovendeerd, P.H.M.[Peter H. M.],
Parameter Estimation in a Rule-Based Fiber Orientation Model from End Systolic Strains Using the Reduced Order Unscented Kalman Filter,
FIMH21(340-350).
Springer DOI 2108
BibRef

Loecher, M.[Michael], Hannum, A.J.[Ariel J.], Perotti, L.E.[Luigi E.], Ennis, D.B.[Daniel B.],
Arbitrary Point Tracking with Machine Learning to Measure Cardiac Strains in Tagged MRI,
FIMH21(213-222).
Springer DOI 2108
BibRef

von Zuben, A.[Andre], Heckman, K.[Kylie], Viana, F.A.C.[Felipe A. C.], Perotti, L.E.[Luigi E.],
A Multi-step Machine Learning Approach for Short Axis MR Images Segmentation,
FIMH21(122-133).
Springer DOI 2108
BibRef

Iglesias, M.A.[María A.], Camara, O.[Oscar], Sitges, M.[Marta], Delso, G.[Gaspar],
Spatially Constrained Deep Learning Approach for Myocardial T1 Mapping,
FIMH21(148-158).
Springer DOI 2108
BibRef

Strocchi, M.[Marina], Augustin, C.M.[Christoph M.], Gsell, M.A.F.[Matthias A. F.], Karabelas, E.[Elias], Neic, A.[Aurel], Gillette, K.[Karli], Roney, C.H.[Caroline H.], Razeghi, O.[Orod], Behar, J.M.[Jonathan M.], Rinaldi, C.A.[Christopher A.], Vigmond, E.J.[Edward J.], Bishop, M.J.[Martin J.], Plank, G.[Gernot], Niederer, S.A.[Steven A.],
The Effect of Ventricular Myofibre Orientation on Atrial Dynamics,
FIMH21(659-670).
Springer DOI 2108
BibRef

Grandits, T.[Thomas], Pezzuto, S.[Simone], Costabal, F.S.[Francisco Sahli], Perdikaris, P.[Paris], Pock, T.[Thomas], Plank, G.[Gernot], Krause, R.[Rolf],
Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks,
FIMH21(650-658).
Springer DOI 2108
BibRef

He, Y.L.[Yun-Long], Wang, L.H.[Li-Hui], Yang, F.[Feng], Xia, Y.[Yong], Clarysse, P.[Patrick], Zhu, Y.[Yuemin],
Systematic Study of Joint Influence of Angular Resolution and Noise in Cardiac Diffusion Tensor Imaging,
FIMH21(200-210).
Springer DOI 2108
BibRef

Kolawole, F.O.[Fikunwa O.], Peirlinck, M.[Mathias], Cork, T.E.[Tyler E.], Wang, V.Y.[Vicky Y.], Dual, S.A.[Seraina A.], Levenston, M.E.[Marc E.], Kuhl, E.[Ellen], Ennis, D.B.[Daniel B.],
A Framework for Evaluating Myocardial Stiffness Using 3D-Printed Heart Phantoms,
FIMH21(305-314).
Springer DOI 2108
BibRef

Lu, W.Z.[Wei-Zeng], Jia, X.[Xi], Chen, W.[Wei], Savioli, N.[Nicolň], de Marvao, A.[Antonio], Shen, L.L.[Lin-Lin], O'Regan, D.[Declan], Duan, J.M.[Jin-Ming],
One-stage Multi-task Detector for 3D Cardiac MR Imaging,
ICPR21(1949-1955)
IEEE DOI 2105
Heart, Image segmentation, Magnetic resonance, Graphics processing units, Detectors, Real-time systems BibRef

Lu, X.S.[Xue-Song], Qiao, Y.C.[Yu-Chuan],
Multi-channel Image Registration of Cardiac MR Using Supervised Feature Learning with Convolutional Encoder-decoder Network,
WBIR20(103-110).
Springer DOI 2006
BibRef

Itoh, H.[Hayato], Imiya, A.[Atsushi],
Multilinear Subspace Method Based on Geodesic Distance for Volumetric Object Classification,
CAIP19(I:672-683).
Springer DOI 1909
BibRef

Kanski, M.[Mikael], Chitiboi, T.[Teodora], Tautz, L.[Lennart], Hennemuth, A.[Anja], Halpern, D.[Dan], Sherrid, M.V.[Mark V.], Axel, L.[Leon],
Analysis of Three-Chamber View Tagged Cine MRI in Patients with Suspected Hypertrophic Cardiomyopathy,
FIMH19(425-432).
Springer DOI 1906
BibRef

Huang, Q.Y.[Qiao-Ying], Yang, D.[Dong], Yi, J.[Jingru], Axel, L.[Leon], Metaxas, D.N.[Dimitris N.],
FR-Net: Joint Reconstruction and Segmentation in Compressed Sensing Cardiac MRI,
FIMH19(352-360).
Springer DOI 1906
BibRef

Cork, T.E.[Tyler E.], Perotti, L.E.[Luigi E.], Verzhbinsky, I.A.[Ilya A.], Loecher, M.[Michael], Ennis, D.B.[Daniel B.],
High-Resolution Ex Vivo Microstructural MRI After Restoring Ventricular Geometry via 3D Printing,
FIMH19(177-186).
Springer DOI 1906
BibRef

Acero, J.C.[Jorge Corral], Zacur, E.[Ernesto], Xu, H.[Hao], Ariga, R.[Rina], Bueno-Orovio, A.[Alfonso], Lamata, P.[Pablo], Grau, V.[Vicente],
SMOD - Data Augmentation Based on Statistical Models of Deformation to Enhance Segmentation in 2D Cine Cardiac MRI,
FIMH19(361-369).
Springer DOI 1906
BibRef

Li, M.Y.[Meng-Yuan], Sermesant, M.[Maxime], Ferguson, S.[Sebastian], Guo, F.M.[Fu-Min], Barry, J.[Jen], Qi, X.L.[Xiu-Ling], Lin, P.[Peter], Ng, M.[Matthew], Wright, G.[Graham], Pop, M.[Mihaela],
Pipeline to Build and Test Robust 3D T1 Mapping-Based Heart Models for EP Interventions: Preliminary Results,
FIMH19(64-72).
Springer DOI 1906
BibRef

Shi, X.[Xue], Tang, L.J.[Li-Jun], Zhang, S.X.[Shao-Xiang], Li, C.M.[Chun-Ming],
Heart Modeling by Convexity Preserving Segmentation and Convex Shape Decomposition,
ISVC18(34-43).
Springer DOI 1811
BibRef

Xu, H.[Hao], Zacur, E.[Ernesto], Schneider, J.E.[Jurgen E.], Grau, V.[Vicente],
Ventricle Surface Reconstruction from Cardiac MR Slices Using Deep Learning,
FIMH19(342-351).
Springer DOI 1906
BibRef

Basty, N.[Nicolas], McClymont, D.[Darryl], Teh, I.[Irvin], Schneider, J.E.[Jürgen E.], Grau, V.[Vicente],
Reconstruction of 3D Cardiac MR Images from 2D Slices Using Directional Total Variation,
RAMBO17(127-135).
Springer DOI 1711
BibRef

Ruijsink, B.[Bram], Puyol-Antón, E.[Esther], Usman, M.[Muhammad], van Amerom, J.[Joshua], Duong, P.[Phuoc], Forte, M.N.V.[Mari Nieves Velasco], Pushparajah, K.[Kuberan], Frigiola, A.[Alessandra], Nordsletten, D.A.[David A.], King, A.P.[Andrew P.], Razavi, R.[Reza],
Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise,
RAMBO17(86-95).
Springer DOI 1711
BibRef

Davidovic, A.[Andela], Coudičre, Y.[Yves], Bourgault, Y.[Yves],
Image-Based Modeling of the Heterogeneity of Propagation of the Cardiac Action Potential. Example of Rat Heart High Resolution MRI,
FIMH17(260-270).
Springer DOI 1706
BibRef

Lu, P.[Ping], Bai, W.J.[Wen-Jia], Rueckert, D.[Daniel], Noble, J.A.[J. Alison],
Multiscale Graph Convolutional Networks for Cardiac Motion Analysis,
FIMH21(264-272).
Springer DOI 2108
BibRef

Vigneault, D.M.[Davis M.], Xie, W.[Weidi], Bluemke, D.A.[David A.], Noble, J.A.[J. Alison],
Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization,
FIMH17(183-194).
Springer DOI 1706
BibRef

Bayraktar, M.[Mustafa], Yeniaras, E.[Erol], Kaya, S.[Sertan], Lawhorn, S.[Seraphim], Iqbal, K.[Kamran], Tsekos, N.V.[Nikolaos V.],
Noise Sensitive Trajectory Planning for MR Guided TAVI,
FIMH17(195-203).
Springer DOI 1706
BibRef

Tilborghs, S.[Sofie], Dresselaers, T.[Tom], Claus, P.[Piet], Claessen, G.[Guido], Bogaert, J.[Jan], Maes, F.[Frederik], Suetens, P.[Paul],
Robust Model-Based Registration of Cardiac MR Images for T1 and ECV Mapping,
FIMH17(42-50).
Springer DOI 1706
BibRef

Samari, B.[Babak], Aumentado-Armstrong, T.[Tristan], Strijkers, G.[Gustav], Froeling, M.[Martijn], Siddiqi, K.[Kaleem],
Cartan Frames for Heart Wall Fiber Motion,
FIMH17(32-41).
Springer DOI 1706
BibRef

Pop, M.[Mihaela], Oduneye, S.[Samuel], Zhang, L.[Li], Newbigging, S.[Susan], Wright, G.[Graham],
In Vivo Parametric T1 Maps Correlate with Structural and Molecular Characteristics of Focal Fibrosis,
FIMH17(13-22).
Springer DOI 1706
BibRef

Perotti, L.E.[Luigi E.], Magrath, P.[Patrick], Verzhbinsky, I.A.[Ilya A.], Aliotta, E.[Eric], Moulin, K.[Kévin], Ennis, D.B.[Daniel B.],
Microstructurally Anchored Cardiac Kinematics by Combining In Vivo DENSE MRI and cDTI,
FIMH17(381-391).
Springer DOI 1706
BibRef

Yu, L.Q.[Le-Quan], Yang, X.[Xin], Qin, J.[Jing], Heng, P.A.[Pheng-Ann],
3D FractalNet: Dense Volumetric Segmentation for Cardiovascular MRI Volumes,
RAMBO16(103-110).
Springer DOI 1703
BibRef

Poudel, R.P.K.[Rudra P. K.], Lamata, P.[Pablo], Montana, G.[Giovanni],
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation,
RAMBO16(83-94).
Springer DOI 1703
BibRef

Bustin, A.[Aurélien], Menini, A.[Anne], Janich, M.A.[Martin A.], Burschka, D.[Darius], Felblinger, J.[Jacques], Brau, A.C.S.[Anja C. S.], Odille, F.[Freddy],
Motion Estimated-Compensated Reconstruction with Preserved-Features in Free-Breathing Cardiac MRI,
RAMBO16(70-80).
Springer DOI 1703
BibRef

Menchón-Lara, R.M.[Rosa-María], Royuela-del-Val, J.[Javier], Godino-Moya, A.[Alejandro], Cordero-Grande, L.[Lucilio], Simmross-Wattenberg, F.[Federico], Martín-Fernández, M.[Marcos], Alberola-López, C.[Carlos],
An Efficient Multi-resolution Reconstruction Scheme with Motion Compensation for 5D Free-Breathing Whole-Heart MRI,
RAMBO17(136-145).
Springer DOI 1711
BibRef

Royuela-del-Val, J.[Javier], Usman, M.[Muhammad], Cordero-Grande, L.[Lucilio], Martin-Fernandez, M.[Marcos], Simmross-Wattenberg, F.[Federico], Prieto, C.[Claudia], Alberola-López, C.[Carlos],
Whole-Heart Single Breath-Hold Cardiac Cine: A Robust Motion-Compensated Compressed Sensing Reconstruction Method,
RAMBO16(58-69).
Springer DOI 1703
BibRef

Zuluaga, M.A.[Maria A.], Biffi, B.[Benedetta], Taylor, A.M.[Andrew M.], Schievano, S.[Silvia], Vercauteren, T.[Tom], Ourselin, S.[Sébastien],
Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients,
RAMBO16(139-146).
Springer DOI 1703
BibRef

Tziritas, G.[Georgios],
Fully-Automatic Segmentation of Cardiac Images Using 3-D MRF Model Optimization and Substructures Tracking,
RAMBO16(129-136).
Springer DOI 1703
BibRef

Mukhopadhyay, A.[Anirban],
Total Variation Random Forest: Fully Automatic MRI Segmentation in Congenital Heart Diseases,
RAMBO16(165-171).
Springer DOI 1703
BibRef

Filippi, M.[Marc], Desvignes, M.[Michel], Moisan, E.[Eric], Ghezzi, C.[Catherine], Perret, P.[Pascale], Fagret, D.[Daniel],
Factor Analysis of Dynamic Sequence with Spatial Prior for 2D Cardiac Spect Sequences Analysis,
ACIVS16(228-237).
Springer DOI 1611
BibRef

Santiago, C., Nascimento, J.C., Marques, J.S.,
A new robust active shape model formulation for cardiac MRI segmentation,
ICIP16(4112-4115)
IEEE DOI 1610
Active shape model BibRef

Ma, L.W.L.[L. W. Lorraine], Ebrahimi, M.[Mehran],
Slice-to-Volume Image Registration Models for MRI-Guided Cardiac Procedures,
FIMH17(139-151).
Springer DOI 1706
BibRef
Earlier:
A Flexible 2D-3D Parametric Image Registration Algorithm for Cardiac MRI,
ICIAR16(661-671).
Springer DOI 1608
BibRef

Yang, G.[Guang], Ye, X.[Xujiong], Slabaugh, G.[Greg], Keegan, J.[Jennifer], Mohiaddin, R.[Raad], Firmin, D.[David],
Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI,
ICISP16(179-190).
WWW Link. 1606
BibRef

Nasopoulou, A.[Anastasia], Blazevic, B.[Bojan], Crozier, A.[Andrew], Shi, W.Z.[Wen-Zhe], Shetty, A.[Anoop], Rinaldi, C.A.[C. Aldo], Lamata, P.[Pablo], Niederer, S.A.[Steven A.],
Myocardial Stiffness Estimation: A Novel Cost Function for Unique Parameter Identification,
FIMH15(355-363).
Springer DOI 1507
BibRef

Freytag, B.[Bianca], Wang, V.Y.[Vicky Y.], Christie, G.R.[G. Richard], Wilson, A.J.[Alexander J.], Sands, G.B.[Gregory B.], Le Grice, I.J.[Ian J.], Young, A.A.[Alistair A.], Nash, M.P.[Martyn P.],
Field-Based Parameterisation of Cardiac Muscle Structure from Diffusion Tensors,
FIMH15(146-154).
Springer DOI 1507
BibRef

Wang, H.[Haiyan], Shi, W.Z.[Wen-Zhe], Bai, W.J.[Wen-Jia], de Marvao, A.M.S.M.[Antonio M. Simoes Monteiro], Dawes, T.J.W.[Timothy J. W.], O'Regan, D.P.[Declan P.], Edwards, P.[Philip], Cook, S.[Stuart], Rueckert, D.[Daniel],
Prediction of Clinical Information from Cardiac MRI Using Manifold Learning,
FIMH15(91-98).
Springer DOI 1507
BibRef

Nagler, A.[Andreas], Bertoglio, C.[Cristóbal], Stoeck, C.T.[Christian T.], Kozerke, S.[Sebastian], Wall, W.A.[Wolfgang A.],
Cardiac Fibers Estimation from Arbitrarily Spaced Diffusion Weighted MRI,
FIMH15(198-206).
Springer DOI 1507
BibRef

Sliman, H.[Hisham], Elnakib, A.[Ahmed], Beache, G.M.[Garth M.], Soliman, A.[Ahmed], Khalifa, F.[Fahmi], Gimel'farb, G.[Georgy], Elmaghraby, A.[Adel], El-Baz, A.[Ayman],
A novel 4D PDE-based approach for accurate assessment of myocardium function using cine cardiac magnetic resonance images,
ICIP14(3537-3541)
IEEE DOI 1502
Biomedical imaging BibRef

Wael, M.[Mai], Fahmy, A.S.[Ahmed S],
Classification of cardiac magnetic resonance image type and orientation,
ICIP14(2232-2235)
IEEE DOI 1502
Biomedical imaging BibRef

Farouj, Y., Wang, L., Clarysse, P., Navarro, L., Clausel, M., Delachartre, P.,
Cardiac motion analysis using wavelet projections from tagged MR sequences,
ICIP14(189-193)
IEEE DOI 1502
Continuous wavelet transforms BibRef

Placidi, G.[Giuseppe], Avola, D.[Danilo], Cinque, L.[Luigi], Macchiarelli, G.[Guido], Petracca, A.[Andrea], Spezialetti, M.[Matteo],
Adaptive Sampling and Non Linear Reconstruction for Cardiac Magnetic Resonance Imaging,
CompIMAGE14(24-35).
Springer DOI 1407
BibRef

Kruzick, S.[Stephen], Mengshoel, O.[Ole], Menon, P.G.[Prahlad G.],
Detection of Myocardial Perfusion Defects Using First Pass Perfusion Cardiac MRI Data,
CompIMAGE14(248-254).
Springer DOI 1407
BibRef

Emilien, A.[Aurelie], Benois-Pineau, J.[Jenny], Elbes, D.[Delphine], Quesson, B.[Bruno],
Adaptive rejection of outliers for robust motion compensation in cardiac MR-thermometry,
ICIP13(2514-2518)
IEEE DOI 1402
Biomedical image processing BibRef

Nitzken, M.[Matthew], Beache, G.[Garth], Elnakib, A.[Ahmed], Khalifa, F.[Fahmi], Gimel'farb, G.L.[Georgy L.], El-Baz, A.[Ayman],
Accurate modeling of tagged CMR 3D image appearance characteristics to improve cardiac cycle strain estimation,
ICIP12(521-524).
IEEE DOI 1302
BibRef

Khalifa, F.[Fahmi], Beache, G.M.[Garth M.], Gimel'farb, G.L.[Georgy L.], El-Baz, A.[Ayman],
A novel CAD system for analyzing cardiac first-pass MR images,
ICPR12(77-80).
WWW Link. 1302
BibRef

Khalifa, F., Beache, G.M., Firjani, A., Welch, K.C., Gimel'farb, G.L., El-Baz, A.,
A new nonrigid registration approach for motion correction of cardiac first-pass perfusion MRI,
ICIP12(1665-1668).
IEEE DOI 1302
BibRef

Zakkaroff, C.[Constantine], Radjenovic, A.[Aleksandra], Greenwood, J.[John], Magee, D.[Derek],
Recovery of Slice Rotations with the Stack Alignment Transform in Cardiac MR Series,
BMVC12(35).
DOI Link 1301
BibRef

Ou, Y.M.[Yang-Ming], Ye, D.H.[Dong Hye], Pohl, K.M.[Kilian M.], Davatzikos, C.[Christos],
Validation of DRAMMS among 12 Popular Methods in Cross-Subject Cardiac MRI Registration,
WBIR12(209-219).
Springer DOI 1208
BibRef

Kotu, L.P.[Lasya Priya], Engan, K.[Kjersti], Eftestol, T.[Trygve], Orn, S.[Stein], Woie, L.[Leik],
Texture classification of scarred and non-scarred myocardium in cardiac MRI using learned dictionaries,
ICIP11(65-68).
IEEE DOI 1201
BibRef

Wang, L.H.[Li-Hui], Zhu, Y.M.[Yue-Min], Li, H.Y.[Hong-Ying], Liu, W.Y.[Wan-Yu], Magnin, I.E.[Isabelle E.],
Simulation of Diffusion Anisotropy in DTI for Virtual Cardiac Fiber Structure,
FIMH11(95-104).
Springer DOI 1105
Doppler Tissue Imaging BibRef

Martinez, F.[Fabio], Manzanera, A.[Antoine], Marta, C.S.[Cristina Santa], Romero, E.[Eduardo],
Characterization of motion cardiac patterns in magnetic resonance cine,
ICIIP11(1-5).
IEEE DOI 1112
BibRef

Karadag, I.E.[Ilyas E.], Bishop, M.[Martin], Hales, P.W.[Patrick W.], Schneider, J.E.[Jürgen E.], Kohl, P.[Peter], Gavaghan, D.[David], Grau, V.[Vicente],
Regionally Optimised Mathematical Models of Cardiac Myocyte Orientation in Rat Hearts,
FIMH11(294-301).
Springer DOI 1105
BibRef

Casta, C.[Christopher], Clarysse, P.[Patrick], Pousin, J.[Jérôme], Schaerer, J.[Joël], Croisille, P.[Pierre], Zhu, Y.M.[Yue-Min],
Driving Dynamic Cardiac Model Adaptation with MR-Tagging Displacement Information,
FIMH11(137-144).
Springer DOI 1105
BibRef

Imperiale, A., Chabiniok, R., Moireau, P., Chapelle, D.,
Constitutive Parameter Estimation Methodology Using Tagged-MRI Data,
FIMH11(409-417).
Springer DOI 1105
BibRef

Chabiniok, R., Moireau, P., Lesault, P.F., Rahmouni, A., Deux, J.F., Chapelle, D.,
Trials on Tissue Contractility Estimation from Cardiac Cine MRI Using a Biomechanical Heart Model,
FIMH11(304-312).
Springer DOI 1105
BibRef

Ma, Y.L.[Ying-Liang], Shetty, A.[Anoop], Duckett, S.G.[Simon G.], Rinaldi, C.A.[C. Aldo], Schaeffter, T.[Tobias], Razavi, R.[Reza], Carr-White, G.[Gerry], Rhode, K.S.[Kawal S.],
Real-Time Cardiac MR Anatomy and Dyssynchrony Overlay for Guidance of Cardiac Resynchronization Therapy Procedures: Clinical Results Update,
FIMH11(313-314).
Springer DOI 1105
BibRef

Zhou, Y.[Yan], Tsekos, N.V.[Nikolaos V.], Pavlidis, I.T.[Ioannis T.],
Cardiac MRI Intervention and Diagnosis via Deformable Collaborative Tracking,
FIMH11(188-194).
Springer DOI 1105
BibRef

Shi, W.Z.[Wen-Zhe], Zhuang, X.H.[Xia-Hai], Wang, H.Y.[Hai-Yan], Duckett, S.G.[Simon G.], Oregan, D.[Declan], Edwards, P.[Philip], Ourselin, S.[Sebastien], Rueckert, D.[Daniel],
Automatic Segmentation of Different Pathologies from Cardiac Cine MRI Using Registration and Multiple Component EM Estimation,
FIMH11(163-170).
Springer DOI 1105
BibRef

Rossi, A.C.[Alessandro C.], Arts, T.[Theo], Delhaas, T.[Tammo],
On the Estimation of Transmural Myocardial Shear by Means of MRI Tagging,
FIMH11(105-112).
Springer DOI 1105
BibRef

Munoz-Moreno, E.[Emma], Frangi, A.[Alejandro],
Spatial normalization of cardiac Diffusion Tensor Imaging for modeling the muscular structure of the myocardium,
ICIP10(4413-4416).
IEEE DOI 1009
BibRef

Roujol, S., Benois-Pineau, J., de Senneville, B.D.[B. Denis], Quesson, B., Ries, M., Moonen, C.,
Real time constrained motion estimation for ECG-gated cardiac MRI,
ICIP10(757-760).
IEEE DOI 1009
BibRef

Frindel, C.[Carole], Robini, M.[Marc], Schaerer, J.[Joel], Croisille, P.[Pierre], Zhu, Y.M.[Yue-Min],
Improved global cardiac tractography with simulated annealing,
ICIP09(813-816).
IEEE DOI 0911
Cardiac DT-MRIfirre tracking BibRef

Bao, L.J.[Li-Jun], Liu, W.Y.[Wan-Yu], Pu, Z.B.[Zhao-Bang], Fanton, L., Rapacchi, S., Croisille, P., Zhu, Y.M.[Yue-Min], Magnin, I.E.,
An Adaptive Denoising Method Dedicated to Cardiac MR-DTI,
CISP09(1-5).
IEEE DOI 0910
BibRef

Gilliam, A.D.[Andrew D.], Hossack, J.A.[John A.], Epstein, F.H.[Frederick H.], French, B.A.[Brent A.], Acton, S.T.[Scott T.],
Automated magnetic resonance assisted echocardiographic motion analysis,
ICIP08(2244-2247).
IEEE DOI 0810
BibRef

Nijm, G.M., Swiryn, S., Larson, A.C., Sahakian, A.V.,
Evaluation of image quality metrics for comparison of synchronization algorithms for cardiac cine MRI,
ICIP08(2260-2263).
IEEE DOI 0810
BibRef

Andreopoulos, A.[Alexander], Tsotsos, J.K.[John K.],
Cardiac MRI dataset,
Online2008.
WWW Link. Dataset, Cardiac MRI. BibRef 0800

Rouchdy, Y.[Youssef], Pousin, J.[Jérôme], Schaerer, J.[Joël], Clarysse, P.[Patrick],
A Hyperelastic Deformable Template for Cardiac Segmentation in MRI,
FIMH07(443-452).
Springer DOI 0706
BibRef

Dinan, F.J.[F. Jamali], Mosayebi, P., Abrishami Moghaddam, H., Giti, M., Kermani, S.,
A Fully 3D System for Cardiac Wall Deformation Analysis in MRI Data,
FIMH07(12-21).
Springer DOI 0706
BibRef

Yousef, T.A.[Tamer A.], Osman, N.F.[Nael F.],
Effect of Noise and Slice Profile on Strain Quantifications of Strain Encoding (SENC) MRI,
FIMH07(50-59).
Springer DOI 0706
BibRef

Adluru, G.[Ganesh], Hsu, E.[Edward], di Bella, E.V.R.[Edward V. R.],
Constrained Reconstruction of Sparse Cardiac MR DTI Data,
FIMH07(91-99).
Springer DOI 0706
BibRef

Hansen, M.S.[Michael Sass], Zhao, F.[Fei], Zhang, H.H.[Hong-Hai], Walker, N.E.[Nicholas E.], Wahle, A.[Andreas], Scholz, T.[Thomas], Sonka, M.[Milan],
Detection of Connective Tissue Disorders from 3D Aortic MR Images Using Independent Component Analysis,
CVAMIA06(13-24).
Springer DOI 0605
BibRef

Jacob, J.P.[Jean-Pascal], Vachier, C.[Corinne], Morel, J.M.[Jean-Michel], Daire, J.L.[Jean-Luc], Hyacinthe, J.N.[Jean-Noel], Vallée, J.P.[Jean-Paul],
Extrema Temporal Chaining: A New Method for Computing the 2D-Displacement Field of the Heart from Tagged MRI,
ACIVS06(897-908).
Springer DOI 0609
BibRef

Kim, M.J.[Min-Jeong], Choi, S.M.[Soo-Mi], Choi, Y.J.[Yoo-Joo], Kim, M.H.[Myoung-Hee],
Multi-dimensional Visualization and Analysis of Cardiac MR Images During Long-Term Follow-Up,
ICIAR06(II: 602-611).
Springer DOI 0610
BibRef

Zhang, Q.L.[Qi-Long], Souvenir, R.[Richard], Pless, R.[Robert],
On Manifold Structure of Cardiac MRI Data: Application to Segmentation,
CVPR06(I: 1092-1098).
IEEE DOI 0606
BibRef

Leung, E.T.H.[Erich T. H.], Tsotsos, J.K.[John K.],
Adaptive Enhancement of Cardiac Magnetic Resonance (CMR) Images,
ICCV05(II: 1739-1746).
IEEE DOI 0510
BibRef

Barron, J.L.,
Experience with 3D optical flow on gated MRI cardiac datasets,
CRV04(370-377).
IEEE DOI 0408
BibRef

Delhay, B., Clarysse, P., Bonnet, S., Grangeat, P., Magnin, I.E.,
Combined 3d object motion estimation in medical sequences,
ICIP04(III: 1461-1464).
IEEE DOI 0505
BibRef

Vincent, F., Clarysse, P., Croisille, P., Magnin, I.,
An Elasticity-based Region Model and Its Application to the Estimation of the Heart Deformation in Tagged MRI,
ICIP00(Vol I: 629-632).
IEEE DOI 0008
BibRef

O'Donnell, T., Funka-Lea, G.,
3-D Cardiac Volume Analysis Using Magnetic Resonance Imaging,
WACV98(240-241).
IEEE DOI 9809
BibRef

O'Donnell, T., Aharon, S., Halliburton, S.S., Gupta, A., Funka-Lea, G., White, R.D.,
Multi-modality model-based registration in the cardiac domain,
CVPR00(II: 790-791).
IEEE DOI 0403
BibRef

Androutsellis-Theotokis, S., Prince, J.L.,
Experiments in Multiresolution Motion Estimation for Multifrequency Tagged Cardiac MR Images,
ICIP96(III: 299-302).
IEEE DOI BibRef 9600

Serra, L., Poston, T., Ng, H., Heng, P.A., Chua, B.C.,
Virtual Space Editing of Tagged MRI Heart Data,
CVRMed95(XX-YY) BibRef 9500

Gupta, S.N., Prince, J.L.,
On Div-Curl Regularization for Motion Estimation in 3D Volumetric Imaging,
ICIP96(I: 929-932).
IEEE DOI 9610
BibRef

Gupta, S.N., Prince, J.L., and Androutsellis-Theotokis, S.,
Bandpass Optical Flow for Tagged MR Imaging,
ICIP97(III: 364-367).
IEEE DOI BibRef 9700

Waks, E., Prince, J.L., Douglas, A.,
Cardiac Motion Simulator for Tagged MRI,
MMBIA96(DEFORMABLE MODELS I) BibRef 9600

Funka-Lea, G.[Gareth], Gupta, A.[Alok],
The Use of Hybrid Models to Recover Cardiac Wall Motion in Tagged MR Images,
CVPR96(625-630).
IEEE DOI BibRef 9600

Staib, L.H., Sinusas, A.J.,
Cardiac SPECT restoration using MR-based support constraints,
ICIP95(II: 480-483).
IEEE DOI 9510
BibRef

Kuwahara, M., Eiho, S.,
3-D heart image reconstructed from MRI data,
ICPR88(II: 1198-1201).
IEEE DOI 8811
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Ventricle Segmentation, Left Ventricle, using MRI .


Last update:Mar 16, 2024 at 20:36:19